Video target extracting method based on watershed algorithm

A watershed algorithm and video object technology, applied in the field of computer vision research, can solve the problems of large amount of calculation and low accuracy, and achieve the effect of improved intelligence level, high accuracy, and easy analysis and use

Inactive Publication Date: 2004-09-15
SHANGHAI JIAO TONG UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

It solves the problem of large amount of calculation and low accuracy in video object extraction, thereby greatly improving the efficiency and p

Method used

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Examples

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Example Embodiment

[0017] In the following, the application of the present invention in the experiment of "equipment real-time video monitoring" will be described in detail. In this embodiment, the user first provides the program with the rectangular area where the above three monitored objects are located in the form of a configuration file, and the program extracts objects within the local area. The specific steps are as follows:

[0018] (1) Video frame reading. The format of the input video frame is a 320*240 RGB image, and the RGB format is converted into YUV12 and HSI format data and saved according to the corresponding transformation matrix;

[0019] (2) Pretreatment. For the brightness grayscale image of the video frame, the Roberts operator is used to calculate the gradient image, and then the median filter method is used to denoise the obtained gradient image. The median filter adopts a 5*5 square filter window, which can effectively satisfy Filtering effect and real-time requirements.

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Abstract

First, initial frame is captured from video frequency input. Next, based on configuration file generated by user in advance in monitored area, local rectangle region, where there is an object in video frequency needed to pick up, is determined. Then, in the determined rectangle region, pretreatment, watershed segmentation, color analysis and regional clustering process are carried out. Finally, video object picked up is saved. The invention is as a pioneer in video monitoring area based on content in order to solve issues: large calculated amount of picked video object, not accuracy. The invention is applicable to picking up pointed monitored object in a scene. Experiment indicates the algorithm in high real time, basic consistence between clustering processed pixel block and monitored object. Thus, the invention provides basis for further tracking video object.

Description

technical field [0001] The invention relates to a video object extraction and video signal processing method, in particular to a video object extraction method based on a watershed algorithm. It belongs to the field of computer vision research. Background technique [0002] Video object extraction technology is one of the important research objects in computer vision and pattern recognition. It not only has high theoretical value, but also has been widely used in many practical problems, such as content-based video surveillance, motion detection, etc. At the same time, video object extraction is also a relatively complex technology, involving many fields such as geometry, mathematical morphology, and computing technology. Many algorithms have been proposed so far. These algorithms generally start from some key attributes of video objects and establish The corresponding mathematical model makes the model take these properties of the video object as the only solution or local...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06T7/60
Inventor 杨树堂李建华须泽中郭礼华袁晓彤
Owner SHANGHAI JIAO TONG UNIV
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